Spectral Filtering

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1 paper in the last four weeks, down 67% on the four weeks before. 0.0% of all new papers.

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  1. Principal Component Regression Dominates all Monotone Spectral Filters for Linear Regression

    Sep 30, 2026Juno Kim, Hengyu Fu, Peter Bartlett +2Kernel Ridge RegressionSpectral Filtering

    University of California, Berkeley · Google DeepMind

  2. Flattening the Connectome Spectrum: A Spectral Filter for FC Induces a Pretraining Target for fMRI Encoders

    Sep 29, 2026Giovanni Marraffini, Victoria Shevchenko, Carlo Alberto Barbano +1Functional ConnectivityHuman Connectome Project

    UNITO · MIND

  3. MiNCE: Nonparametric, Strongly Consistent Confidence Envelopes for Band-Limited Functions and their Smoothed Spectra

    Sep 8, 2026Balázs Csanád Csáji, Bálint HorváthConfidence IntervalsExponential Family

    HUN-REN SZTAKI: Institute for Computer Science and Control, Budapest, Hungary · Institute of Mathematics, Eötvös Loránd University (ELTE), Budapest, Hungary

  4. ButterMamba: Butterworth-Enhanced Spatial-Temporal Mamba for Efficient Traffic Flow Prediction

    Aug 30, 2026Limiao Zhang, Yuhui Lu, Jie Gao +3Accurate Traffic ForecastingGraph Neural Networks

    State Key Laboratory of Opto-Electronic Information Acquisition and Protection Technology, Anhui University · Institute of Physical Science and Information Technology, Anhui University · School of Innovation and Entrepreneurship, Shandong University +1

  5. New Orthogonal Multiwavelet Filters Derived by Matrix Spectral Factorization

    Aug 12, 2026Vasil Kolev, Todor Cooklev, Fritz KeinertWaveletsSpectral Filtering

    Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Bl. 2, Acad. G. Bonchev St., 1113 Sofia, Bulgaria · Wireless Technology Center, Purdue University, Fort Wayne, IN 46805, USA · Department of Mathematics, Iowa State University, Ames, IA 50011, USA

  6. A Spectral Filtering Approach to Regret Analysis of Distributed Online Control for Linear Dynamical Systems

    Aug 3, 2026Ting-Jui ChangLinear Quadratic Regulator\Widetilde{\Mathcal{O}}(\Sqrt{T})$ Regret

    T.J. Chang is with the Department of Aeronautics and Astronautics, National Cheng Kung University, Taiwan.

  7. Dynamic Spectral Filtering for Temporal Graph Learning: Learning Evolving Propagation Operators

    Jul 30, 2026Yan KongTemporal Graph Neural NetworksSpectral Filtering

    Nanjing University of Information Science and Technology, China

  8. CondPSE: A Polynomial-Filtered Structural Encoder with Conditional Modulation for Graphs

    Jul 28, 2026Woohyun Lee, Hogun ParkSpectral FilteringEncoders

    Sungkyunkwan University Suwon, Republic of Korea

  9. Filter Learning for Subgraphs: Algebras and Performance Risk Bounds

    Jul 23, 2026Purui Zhang, Feng Ji, Yanan Zhao +2Spectral FilteringSubgraphs

  10. FedFFT: Taming Client Drift in Federated SAM via Spectral Perturbation Filtering

    Jul 5, 2026Liyang Yuan, Yibo Yang, Dandan GuoFederated LearningFrequency Domain

    School of Artificial Intelligence, Jilin University, Changchun, China · King Abdullah University of Science and Technology, Saudi Arabia

  11. Convex--Concave Quadratic Spectral Filtering for Graph Neural Networks

    Jun 23, 2026Ranhui Yan, Jia Cai, Mengzhu Chen +1Spectral FilteringGraph Neural Networks

    School of Computing and Artificial Intelligence, Guangzhou Xinhua University, Guangzhou, Guangdong, China · School of Statistics and Data Science, Guangdong University of Finance and Economics,2026 Guangzhou, Guangdong, China

  12. Denoise First, Orthogonalize Later: Understanding Momentum in Muon via Spectral Filtering

    Jun 2, 2026Xianliang Li, Zihan Zhang, Weiyang Liu +1MuonMomentum

    1The Institute of Statistical Mathematics · 2The Graduate Institute for Advanced Studies, SOKENDAI · 3National Institute of Informatics +3

  13. Contrast to Detect: Dynamic Graph Contrastive Regularization for Unsupervised Anomaly Detection in Multivariate Time Series

    May 22, 2026Yunhua Pei, Zixing Song, Jin Zheng +1Time-Series Anomaly DetectionGraph Anomaly Detection

    School of Computer Science, University of Bristol, Bristol, UK · School of Engineering Mathematics, University of Bristol, Bristol, UK

  14. S3^3GNN: Efficient Global Mixing and Local Message Passing for Long-Range Graph Learning

    May 22, 2026Dai Shi, Luke Thompson, Linhan Luo +4Message Passing Neural NetworksGnn-Based Detectors

    Department of Engineering, University of Cambridge, Cambridge, UK · University of Sydney, Australia

  15. Anchoring the Eigengap: Cross-Modal Spectral Stabilization for Sample-Efficient Representation Learning

    May 9, 2026Nikhil J. Dhinagar, Vidhi Chhatbar, Chirag Jagad +6Representation LearningSpectral Filtering

    Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA · Neuroscience Graduate Program, Mark & Mary Stevens Neuroimaging & Informatics Institute, Chan Division of Occupational Science & Occupational Therapy, Biomedical Engineering, University of Southern California, Los Angeles, CA, USA

  16. Full-Spectrum Graph Neural Networks: Expressive and Scalable

    May 7, 2026Xiaohan Wang, Deyu Bo, Longlong Li +1Graph Neural NetworksSpectral Filtering

    Division of Mathematical Sciences, School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore 637371, Singapore.

  17. Local Hessian Spectral Filtering for Robust Intrinsic Dimension Estimation

    May 2, 2026Genki OsadaIntrinsic DimensionalityHessian

    LY Corporation.

  18. TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendation

    Apr 29, 2026Wei Yang, Rui Zhong, Zihan Lin +4Multimodal Recommendation ModelSpectral Filtering

    Xiaohongshu Inc. · Beijing, China

  19. SFO: Learning PDE Operators via Spectral Filtering

    Jan 23, 2026Noam Koren, Rafael Moschopoulos, Kira Radinsky +1Neural OperatorsPartial Differential Equations

    Department of Computer Science Technion - Israel Institute of Technology · Department of Computer Science Princeton University

  20. Efficient Learning of Balanced Signed Graphs via Sparse Linear Programming

    Jun 2, 2025Haruki Yokota, Hiroshi Higashi, Yuichi Tanaka +1Graph LaplaciansSpectral Filtering